KR20160005995A - Preemptive Mold Prevention Management System and Method based Poor Quality History - Google Patents

Preemptive Mold Prevention Management System and Method based Poor Quality History Download PDF

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KR20160005995A
KR20160005995A KR1020140085227A KR20140085227A KR20160005995A KR 20160005995 A KR20160005995 A KR 20160005995A KR 1020140085227 A KR1020140085227 A KR 1020140085227A KR 20140085227 A KR20140085227 A KR 20140085227A KR 20160005995 A KR20160005995 A KR 20160005995A
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mold
mode
list
excel
plan
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박문호
남재은
심윤수
한창균
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현대오토에버 주식회사
현대파텍스 주식회사
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Abstract

In the preemptive mold prevention management system operating method utilizing the quality defect history of the present invention, the mold list based on the product production defect rate is made from the mold information of the DB at the time of establishing the product production plan, and the selected pre- The facility management period to be monitored before the start is set, and the history of the preliminary quality control object, which has been checked and repaired during the facility management period by wireless transmission / reception using a PDA (Personal Digital Assistant), is updated in the DB, Automated overload surveillance and status analysis Do not need to work without difficulty or excessive labor intensity, especially by using PDA instead of E-Mail, production planners, quality managers, and mold equipment managers can share each other's information wirelessly in real time .

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a preemptive mold preventive management system using a quality defect history,

The present invention relates to a mold management system, and more particularly, to a preemptive mold preventive management system and a method of operating the same, which can maintain a mold at an optimum state before production is started by utilizing a history of quality defects of a mold in establishing a production plan using a mold facility .

Generally, in the manufacturing process where the mold production is performed, the mold management status affects the product quality and production plan, so that for the person in charge of production management, the mold optimization management process is very important for JIT (Just In Time) It must be an assignment.

As an example of such mold optimization management work process, there is a preemptive mold preventive management technique based on Microsoft Excel ( TM ) method that links production plan builders, quality managers, and mold equipment managers organically.

This Excel (Microsoft Excel TM) method preemptive mold preventive maintenance techniques mold list and the required inspection item list requiring pre-emptive quality control target by production planners is created with Excel (Microsoft Excel TM), written in Excel ( Microsoft Excel TM ) files are shared by production planners, quality managers, and mold plant managers, ensuring that mold equipment is kept in optimal condition by cleaning, checking materials, and confirming conditions before production begins.

Thus, in Excel (Microsoft Excel TM) proactive approach Mold Prevention and Control Techniques can be provided efficiently manage the available production during JIT (Just In Time) implementation of the benefits available by mold equipment manufacturing. In particular, the Excel management technique can provide the convenience of taking charge of the production management automation part at low cost by using the user-friendly Excel.

Korean Patent Publication No. 10-2014-0066966 (June 03, 2014)

However, when establishing preemptive mold preventive maintenance being Excel (Microsoft Excel TM) method preemptive Mold Prevention and Control Techniques in Die list and the required inspection item list is contained generate Excel (Microsoft Excel TM) file is dependent on the manual's production planning Airways Overstocking and analysis of the situation It is a reality that not only difficult but also excessive labor intensity is needed.

In particular, even if the Microsoft Excel ™ file is created in a difficult way, the way that the file is delivered to the quality manager and the mold facility manager is made up of the E-Mail transmission, so that it is troublesome to check the e-mail every time none.

In view of the above, the present invention takes into consideration the facility management period until the production of the product, and the list of molds based on the defect rate is made in the product production plan established and the preemptive quality control object to be monitored during the facility management period is selected , The PDA (Personal Digital Assistant) is used to update the history of the preemptive quality control objects that have been inspected and repaired during the facility management period, thereby completely preventing the mold failure that hinders JIT (Just In Time) And to provide a preemptive mold prevention management system utilizing the quality defect history and a method of operating the same.

In order to achieve the above object, the preemptive mold prevention management system operating method utilizing the quality defect history of the present invention uses a DB (Data Base) when establishing a product production plan, A planning mode in which a mold is cataloged based on a reference; A quality mode in which a preemptive quality control object is selected from the mold list and a facility management period in which the preemptive quality control object is to be monitored before the start of product production is considered; The preliminary quality control object is confirmed by wireless transmission / reception using a PDA (Personal Digital Assistant), the preliminary quality control object which has been checked and repaired during the facility management period is updated to the DB, A management mode that is interrupted upon reaching the management date; Is included.

The planning mode includes (A-1) a production plan establishment in which the items of the mold cataloging are checked and established so that the JIT (Just In Time) of the production of the products is performed by the order quantity, (A-2) (A-3) a cumulative defect rate calculation in which cumulative defect rates of molds with daily production quantities are calculated; and (A-4) And inquiry of essential check items to be inquired of items that are essential to be checked in related facilities. Wherein the production plan established in (A-1) is provided in the management mode, the cumulative defect rate calculated in (A-3) is provided in the quality mode, Provided in the management mode.

The quality mode includes (B-1) a rejection rate inquiry from which a mold is inquired from a cumulative rejection rate list of the molds in which the daily production quantity is formulated at the time of establishing the production schedule of the plan mode, (B-2) (B-3) Defect score Scoring badge scoring the corresponding weighted grade for each year; (B-4) Scoring bad score from the list of high risk bad molds It is carried out by selecting line-by-line quality control objects to select installed lines. The line-by-line quality control object selected in (B-4) is provided in the plan mode, and the line-by-line quality control object item can be inquired in the plan mode.

The management mode includes: (C-1) a D + 3 production planning reception for receiving a production plan of the plan mode, inputting an essential check item to the preliminary quality control target after the preliminary quality control target is inquired, (C-2) When the necessity of checking the mold equipment cleaning work or the mold work for the production of the product is determined and there is no necessity of the inspection plan, the work instruction according to the received production plan is performed, (C-3) a list of production plans of the plan mode and a list of essential check items of the management mode are downloaded to the PDA when there is a necessity of a check plan, and the PDA (C-4) when the result of the PDA performing the real-time field check is abnormal, the PDA may upload the check result to the DB, (C-5) When the result of the PDA performing the real-time field check is abnormal, the check result is uploaded to the DB by the PDA, and the abnormal result is immediately inquired , And is implemented as an on-site response in the event of a repair request for an inquired abnormality and then inputting the repaired result to the PDA.

Mandatory checks the input of the (C-1) is made of a display by the check list in Excel (Microsoft Excel TM) file and is available to be viewed in the planning mode. (C-3-1) The PDA downloading the production plan list and the list of essential check items (C-3-2), checking the downloaded file with a bar code (C-3-3) a PDA inquiry to check and check the downloaded downloaded file with the PDA, (C-3-4) search and check, and input the confirmed result into the PDA The check result is performed as input.

According to another aspect of the present invention, there is provided a preemptive mold prevention management system utilizing the quality defect history of the present invention, including an Aladdin system having an Aladdin DB for storing data in Microsoft Excel ( TM ); A planning mode in which molds are cataloged based on the product production defect rate based on the mold information of the Aladdin DB when the product production plan is established, a facility management date in which the preemptive quality control object is to be monitored before the start of product production after the preliminary quality control object is selected A quality mode in which a preliminary quality control target is checked during a facility management period and a history of a preemptive quality control target in which the preliminary quality control target is checked and repaired during wireless transmission and reception using a PDA (Personal Digital Assistant) and management mode is performed, the program mode, the quality mode, the administration mode, the Excel (Microsoft Excel TM) generated by the file, and (Manufacturing Execution system) MES is the Aladdin systems and intercommunication formed respectively to store, computer, PDA ( Personal Digital Assistant).

In the MES made the results Analysis of the production planning data and planning, in the computer becomes the data input and output done to create Excel (Microsoft Excel TM) file, the In the generated Excel (Microsoft Excel TM) PDA File Download / upload and data entry are performed.

The Aladdin DB includes a MES DB (Manufacturing Execution System Data Base), a target inquiry DB, a task creation DB, a check plan DB, a PDA performance DB, and a task execution DB implemented in a DB hierarchical structure based on Microsoft Excel ( TM ) And a history DB 100-6. The MES Excel list includes a defect rate information inquiry by year of the mold, a failure rate weighting selection by year, and a defect rate score scoring by a weight according to a weight. The target inquiry list includes a daily production quantity and a defect rate of a mold And the schedule list includes a facility, a material, a condition, and a scrap, the PDA performance excel list includes a repair history of the inspection object mold, The task history excel list includes history generation and result history registration.

The present invention is based on the premise that the preliminary mold preventive management method established by the production planning person in the product production planning includes the defective mold information and the quality manager and the mold equipment manager using the preemptive mold preventive management method By completing the on-site response of the relevant mold equipment, it is possible to realize real JIT (Just In Time) as well as prevent quality defect due to defective mold in production of products.

In addition, the present invention immediately updates the on-site correspondence data of the quality manager and the mold equipment manager utilizing the preemptive mold prevention management scheme established by the production plan establisher, There is an effect that mold prevention management plan can be established during product production planning.

In addition, since the present invention is realized by a smart phone or a PDA (Personal Digital Assistant) in real time sharing between a production plan builder, a quality manager, and a mold equipment manager by wireless, it is possible to quickly and easily respond to the field, It is immediately updated with the history data in the preemptive mold preventive management system, so that there is no need of a separate work process for establishing the mold history.

In addition, the present invention stores all the data necessary for production planning in a database based on Microsoft Excel ( TM ), so that the production plan builder can perform product production planning work in a familiar environment of use, Since the necessary data is extracted from the DB, the production planner has the effect of performing the work without overloading or analyzing the situation or excessive labor intensity.

In addition, according to the present invention, production schedulers, quality managers, and mold facility managers can share each other's information wirelessly in real time, thereby eliminating all the troubles that have occurred in transmitting E-Mail.

In addition, since the preemptive mold preventive management system is constructed on the basis of Microsoft Excel ( TM ), the present invention provides a user-friendly use environment, and particularly, an efficient production management automation can be achieved at low cost.

2 is a flowchart of a preemptive mold preventive maintenance operation method utilizing a quality defect history according to the present invention, and FIG. 2 is a flowchart of a preemptive mold preventive maintenance operation method using a quality defect history according to the present invention. 3 to 8 show the MESMES (Manufacturing Execution System) screen shown in the Aladdin DB hierarchical structure based on Microsoft Excel ( TM ) in preemptive mold prevention management operation utilizing the quality defect history of the present invention FIG. 9 shows an example of a structure of a configuration, a target inquiry screen configuration, a job creation screen configuration, an inspection plan screen configuration, a PDA (Personal Digital Assistant) performance screen configuration, FIG. 10 shows an example of the use of the preemptive mold prevention management system according to the present invention, and FIGS. 11 to 13 show specific working states of FIG.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, which illustrate exemplary embodiments of the present invention. The present invention is not limited to these embodiments.

FIG. 1 is a block diagram of a preemptive mold preventive management (PMPbPQR) method using a quality defect history according to the present embodiment.

As shown in the figure, PMPbPQR is divided into a preemptive mold prevention management process (A), a preemptive mold prevention monitoring process (B), and a preemptive mold inspecting process (C) The preemptive mold prevention monitoring step (A) and the preliminary mold inspecting step (C) are implemented in a DB Hierarchical Structure based on Microsoft Excel ( TM ) linked to each other to provide a familiar user environment Since each process (A, B, C) is organically linked to each other, it is easy to perform collaborative work through real-time sharing between production plan builder, quality manager, and mold equipment manager. To this end, the PMPbPQR is loaded in the DB of the Aladdin system, and the Aladdin system refers to the preemptive mold prevention management system described in detail with reference to FIG. 9 to FIG.

In the preemptive mold preventive maintenance process (A), a production plan is established by extracting and selecting data stored in a database based on Microsoft Excel ( TM ), and as a result, a key quality control target for high-risk mold management is included Establish preemptive mold prevention management plan. To this end, the preemptive mold preventive maintenance process A uses data such as PLC (Programmable Ladder Logic Controller), MES (Manufacturing Execution System), quality, equipment, mold and inspection, It is analyzed according to the fields classified as history, preemptive quality object, required check item generation, preemptive quality work result, production plan / quality history, which will be described in detail in FIG.

The preemptive mold prevention monitoring process (B) uses the preemptive mold prevention management method to continuously monitor the quality control target before the start of production. To this end, the preliminary mold preventive monitoring process (B) uses data such as inspection status, scrap extraction, production conditions, material input, equipment status, and WO linkage and these data are continuously monitored, .

In the preliminary mold inspecting process (C), the inspection and repair of the object of critical quality control is performed on the spot by the wireless system using the PDA, and the result is updated to the database based on the Microsoft Excel ( TM ) )do. To do this, the preliminary mold inspecting process (C) performs pre-production check and inspection using the production plan and defect score of the preemptive mold preventive maintenance process (A), and inputs preliminary mold prevention It is provided as the information required in the inquiry of the essential check of management process (A). Particularly, PDA uses data such as mold inspection standard, inspection plan, bar code recognition, inspection results, etc., and updates with the result of inspection of the object to be repaired by using these data. As a result, It is used in the production planning of the preventive management process (A). This will be described in detail with reference to FIG.

2 shows a specific flowchart of PMPbPQR.

The planning mode of S100 and the quality mode of S200 are procedures for establishing a production plan, and embody preemptive mold prevention management process (A) and preemptive mold prevention monitoring process (B). This is done through the production planner (or quality manager). The management mode of S300 is a procedure for executing on-site response using a PDA, and embodies a preliminary mold inspection process (C). This is done through the mold plant manager (or quality manager).

The plan mode S100 is implemented by establishing a production plan in S110, inputting daily production results in S120, calculating cumulative defect rate in S130, and inquiring essential check items in S140. In particular, the production plan of S110 and the essential check items of S140 are associated with the management mode (S300), and the cumulative defect rate of S130 is associated with the quality mode (S200).

Specifically, in the production planning of S110, all the items including the mold for JIT (Just In Time) production are checked and established on the basis of the order quantity, and these items are shown in the Microsoft Excel ( TM ) It is constructed as a list through the production planning list. Examples of the list include a vehicle type, an item, and a planned amount. The production plan of S110 is shared in real time in the management mode (S300). Based on the production plan established in S110, the daily production quantity of the mold to be used in the production of the product is identified and formulated, and the daily production quantity is calculated based on the production schedule based on the Microsoft Excel ( TM ) The list is built into a list. An example of a list is the number of production quantities. In the cumulative defect rate calculation in S130, the cumulative defect rate of the mold in which the daily production quantity is known is calculated in S120, and the cumulative defect rate is built up in a list through the production planning list based on Microsoft Excel ( TM ) As an example of the list, there is a percentage (%) of cumulative defect rate. The accumulated failure rate of S130 is shared in real time in the quality mode (S200). In the inquiry of the essential check items of S140, items required to be checked in the mold and the related equipment for producing the item are checked and selected after they are inquired, and these necessary check items are created based on the Microsoft Excel ( TM ) It is built as a list through a planning list. Examples of the list include cleaning status, mold number, scrap after production, and the like. The essential check items of S140 are provided in real time from the management mode (S300).

The quality mode (S200) is implemented by inquiring the defect rate at S210, selecting the weight for each year at S220, scoring bad points at S230, and selecting the quality control target for each line at S240. In particular, the line-by-line quality control object of S240 is associated with the management mode (S300).

Specifically, in the defect rate inquiry in S210, the degree of defects for a mode mold capable of producing a product is checked, and the defect rate item is checked from a list constructed through a production planning list based on Microsoft Excel ( TM ) in FIG. As an example of a check item, there is a percentage (%) of defectiveness. The production planning of S210 is shared in real time in the management mode (S300). In S220, the annual defect rate information of the mold in which the defect rate is inquired is checked in S210, and the weight is assigned to the year. The weight is given as a list through the production planning list based on Microsoft Excel ( TM ) . As an example of a list, there is a number given as 1, 2, 3, etc. for a normal mold or a percentage given as a percentage (%) such as 0%, 10%, 20% for a normal mold. In S230, the defective score is scored in S210, and the defective score is constructed as a list through a production planning list based on Microsoft Excel ( TM ) shown in FIG. As an example of the list, there is a number giving a defective score in numerals such as 0, 1, 2, 3 (number). In the line-by-line quality control target selection in S240, lines installed with the high-risk defective molds identified in S230 are checked. These defective mold installation lines are built in a list through a production planning list based on Microsoft Excel ( TM ) do. As an example of the list, there is a number assignment in which the management target is represented by numerals such as 0, 1, 2, 3 (number). The line-by-line quality control object of S240 is shared in real time in the management mode (S300).

The management mode (S300) includes receiving the D + 3 production plan at S310, checking the work condition (cleaning or mold) at S320, checking the work condition at S330, creating the inspection plan at S340, performing real- Determination, S370 normal on-site response, and S380 abnormal on-site response. In particular, the production planning reception at S310 is provided through the planning mode (S100), and the essential check at S312 is provided to the planning mode (S100).

Specifically, the reception of the D + 3 production plan in S310 is a production plan of S110 that is the result of the execution in the plan mode (S100). The production plan is a list of the production plan based on the Microsoft Excel ( TM ) And extracted. As an example of an extraction list, there is a production date marked -3, which is three days before the start of production. When the D + 3 production plan of S310 is received, the preliminary quality control target inquiry of S311 is performed, and the necessary check items of S312 are inputted. These prequalified quality control target inquiries are extracted from the list of essential check lists based on Microsoft Excel ( TM ) shown in FIG. 5, and the required check items are listed in the essential check list based on Microsoft Excel ( TM ) . A mandatory check entry is simply a check mark like "V". In particular, the essential check item of S312 is provided as an inquiry of the essential check item of S140 performed in the plan mode (S100).

The work condition check of S320 judges the necessity of the cleaning work or the mold work inspection plan for product production and goes to the work instruction of S330 to perform the work instruction according to the received production plan when there is no necessity of the inspection plan, When there is a need, proceed to the creation of the inspection plan of S340. The work instruction progression in S330 is performed by inputting the work result in S331 and the work history inquiry in S332. The input of the job results and the job history inquiry are written to the job history list based on Microsoft Excel ( TM ) shown in FIG. 8 and extracted from the list of job history lists. The work result input item is composed of direct writing of numbers and characters, and the job history inquiry list includes a production date production line and the like. The creation of the inspection plan of S340 creates an inspection period for the molds and facilities related to the production of the product, and the creation of such inspection periods is listed in the list of inspection plans based on the Microsoft Excel ( TM ) of FIG. Check entry is simply done with a check mark like "V".

The real-time field check of S350 is performed immediately in the field by using the production plan list of S110 performed in the plan mode (S100), the list of essential check items of S312 performed in the management mode (S300), and using the PDA. This can be done using a smartphone or a laptop or desktop computer if needed. For example, the real-time field check of the S350 using the PDA is performed by downloading the PDA of S351, the bar code discrimination of S352, the PDA inquiry of S353, and the check result of S354. The PDA download on the S351 is a list of exports, including a list of production plans or a list of essential checks, and is done wirelessly. The bar code discrimination in step S352 is a verification procedure for the downloaded file. The PDA inquiry in step S353 is a procedure for checking the check status history recorded in the facility or the mold by inquiring the list of the bar code discriminated files in step S352. The input is the procedure for entering the checked status into the downloaded file. This file downloading, bar code discrimination, list inquiry, check status input is performed by extracting the list from the PDA operation list based on Microsoft Excel ( TM ) using the PDA of FIG. 6 and writing the list of the PDA operation list. The check status input is simply done with a check mark like "V". As an extraction list, there are a mold appearance, a plating state, and the like.

The PDA result determination in step S360 is performed after inputting the check result in step S354, which is divided into a normal on-site response in step S370 and an on-site response in step S380. The normal on-site response of S370 is a PDA upload, which means PDA-based on-site update of the PMPbPQR via PDA. On the other hand, S380 is a PDA upload that means field update of PMPbPQR via PDA. This PDA upload is the same as S370, but there is a difference in that more coping processes are performed. Therefore, an abnormal result is inquired again after uploading the PDA as in S381, the repair of the corresponding mold (or facility) confirmed by the inquiry is requested as in S382, and the repair result is input to the corresponding mold , Which is field-updated in the PMPbPQR as a PDA upload. In this manner, the PMPbPQR where the field update by the PDA upload is performed is loaded in the DB of the Aladdin system, and the Aladdin system refers to the preemptive mold prevention management system described in detail later with reference to FIG. 9 to FIG.

On the other hand, FIG. 9 shows the configuration of a preemptive mold prevention management system utilizing the quality defect history according to the present embodiment.

As shown in the drawing, the preemptive mold prevention management system includes an Aladdin system 10 having an Aladdin DB 100 for storing data in Microsoft Excel ( TM ) so Aladdin systems (10) (Manufacturing Execution system) to communicate MES (20), Excel (Microsoft Excel TM), a computer (30) to communicate with Aladdin systems (10) to create a file, the resulting Excel (Microsoft Excel TM And a PDA (Personal Digital Assistant) 40 for communicating with the Aladdin system 10 so that downloading / uploading of files and data input are performed.

The Aladdin DB 100 of the Aladdin system 10 cooperates with the MES 20, the computer 30 and the PDA 40 so that the planning mode S100, the quality mode S200 ) And the management mode (S300) are performed. In the planning mode (S100), a mold is cataloged based on the product production defect rate from the mold information of the Aladdin DB (100) at the time of establishing the product production plan. In the quality mode (S200), a preemptive quality control object is selected from the mold list, and a facility management period in which the preemptive quality control object is to be monitored is set before the start of product production. In the management mode (S300), the preliminary quality control target is confirmed by wireless transmission / reception using the PDA 40, and the history of the preemptive quality control target that has been checked and repaired during the facility management period is updated to the Aladdin DB 100 Update.

In particular, the Aladdin DB 100 includes a Manufacturing Execution System Data Base (MES DB) 100-1, a target inquiry DB 100-2, a task creation DB 100-3, a check plan DB 100-4, The PDA performance DB 100-5 and the job history DB 100-6 are implemented in a DB hierarchical structure based on Microsoft Excel ™ to provide a familiar user environment. The MES DB 100-1 provides an MES Excel list 100-1A including defect rate information by year of the mold, defect rate weighting by year, and defect rate score scoring by mold weight, (100-2A) that includes the daily production quantity and the defect rate of the mold to be used in the production of the product, and the job creation DB (100-3) includes a vehicle type, an item, and a planned amount And the inspection plan DB 100-4 provides an inspection plan excel list 100-4A including equipment, materials, conditions, and scrap, and the PDA performance The DB 100-5 provides the PDA performance excel list 100-5A including the repair history of the object mold to be inspected, and the operation history DB 100-6 provides the history of the work including the history creation and the result history registration And provides an Excel list 100-6A.

Meanwhile, the utilization state of the preemptive mold prevention management system in the present embodiment is exemplified in FIG. 10 through FIG.

10, the MES 20 provides the production plan and the results (No. 1) to the Aladdin DB 100 of the Aladdin system 10. The production plan builder uses the Aladdin DB 100 of the Aladdin system 10 to search the defect rate and defect type information (No. 2), the preliminary quality control target list (No. 3) Mold inspection (No.4), and input of essential check items (No.5). The quality manager performs the mold equipment preventive check (No. 6) on the spot by sharing the work results of the production plan builder stored in the Aladdin DB 100 of the Aladdin system 10 with the PDA 40, and uploads the result of the preliminary inspection. The mold equipment manager cleans the mold equipment in the field and confirms the material and confirms the condition (No. 7) by sharing the result of the production plan builder stored in the Aladdin DB 100 of the Aladdin system 10 with the PDA 40 And upload the results. The production plan builder (or information user) extracts the data stored in the Aladdin DB 100 of the Aladdin system 10 with the MES 20 and analyzes the status of the defect rate trend, the inspection / defect rate, .

11 to 13, the production plan and the results (No. 1) of the MES 20 are shown as follows: production planning is established from the mold equipment 1, daily production results are input (good, defective, Calculation, and the like.

In the inquiry of the defect rate and defect type information (No. 2) of the production planner, the failure rate information of the mold is retrieved by using the defect information of the MES (20), the defect rate information is selected by the year, and the defect rate score is scored by the weight And 100 preliminary quality control target dies are selected by using the MES Excel list 100-1A in the preliminary quality control target list creation (No. 3) (No. 4), the MES of the MES 20 registers the planned object and the defect rate reception information (mold production plan, past production Day production plan (D + 3) and daily production performance (D-1) are stored in the Aladdin system (10) No.5), the pre-qualified quality control mold list Produced after the mandatory checks at check-die plan is created to check the list Plan Excel (100-4A).

In the quality control preventive inspection (No. 6) of the quality manager, generation of the inspection plan excel list (100-4A) by confirming the inspection plan date and generation of the PDA performance excel list (100-5A) by registering the inspection result with the PDA are performed The confirmation of the inspection plan and the result of the check (registration of production engineering department) are established.

In the mold equipment cleaning and material confirmation and condition check (No. 7) of the mold equipment manager, work history excel list (100-6A) is created by history creation and result history registration, so that work on facilities, materials, conditions and scrap Registration of history results (production support department, production technology department) is established.

In the current analysis (No. 8) of the production planner (or information user), the results of the essential check items for each mold are provided to the Excel output report 200 from the Aladdin system 10 to the MES 20.

As described above, in the preemptive mold prevention management system operation method utilizing the quality defect history according to the present embodiment, the mold list based on the product production defect rate is made from the mold information of the DB at the time of establishing the product production plan, The facility management period is set up to monitor the quality control target before the production of the product, and the history of the preemptive quality control target that has been checked and repaired during the facilities management period by wireless transmission / reception using PDA (Personal Digital Assistant) (PDA) is used instead of E-Mail, so that the production planner, the quality manager, and the mold equipment manager can communicate with each other. The convenience of real-time sharing of information wirelessly is realized.

1: Mold equipment
10: Aladdin System 20: Manufacturing Execution System (MES)
30: computer 40: PDA (Personal Digital Assistant)
100: Aladdin DB (Data Base)
100-1: MES DB 100-1A: MES Excel List
100-2: Target Query DB 100-2A: Target Query Excel List
100-3: Job Creation DB 100-3A: Job Creation Excel List
100-4: Inspection plan DB 100-4A: Inspection plan Excel list
100-5: PDA performance DB 100-5A: PDA performance excel list
100-6: Job History DB 100-6A: Job History Excel List
200: Excel output report

Claims (16)

A plan mode in which a DB (Data Base) is used for establishing a product production plan and a mold is cataloged based on a product production defect rate from the DB mold information;
A quality mode in which a preemptive quality control object is selected from the mold list and a facility management period in which the preemptive quality control object is to be monitored before the start of product production is considered;
The preliminary quality control object is confirmed by wireless transmission / reception using a PDA (Personal Digital Assistant), the preliminary quality control object which has been checked and repaired during the facility management period is updated to the DB, A management mode that is interrupted upon reaching the management date;
Wherein the preliminary mold preventive management system comprises a quality defect history.
2. The method of claim 1, wherein the plan mode inquires of the essential check items of the preemptive quality control target performed in the management mode, and the DB stores data in Microsoft Excel ( TM ) A method of preemptive mold prevention management system using. The planning mode according to claim 1, wherein the planning mode comprises: (A-1) production planning establishment, in which items of the mold cataloging are checked and established so that JIT (Just In Time) (A-3) cumulative defect rate calculation, in which cumulative defect rates of molds with daily production quantities are calculated, and A-4) A method of preemptive mold prevention management system utilizing a quality defect history, characterized in that it is performed by inquiring essential check items to be checked for items that are necessarily checked in the mold and related facilities.
The method according to claim 3, wherein the information used in the planning mode is listed in a Microsoft Excel ( TM ) file.
4. The method according to claim 3, wherein the production plan established in (A-1) is provided in the management mode, the cumulative defect rate calculated in (A-3) And the items to be inquired are provided in the management mode.
The method according to claim 1, wherein the quality mode comprises: (B-1) a defect rate inquiry from which the mold is inquired from a cumulative defect rate list of the molds in which the daily production quantity is formulated at the time of establishing the production plan in the plan mode, (B-2) (B-3) Defect Scoring Scoring bad scoring scoring the mold with the weighted grade assigned to each year, (B-4) Scoring from the sequence list And selecting a line to which a high-risk defective mold is installed, in accordance with a line quality control target.
The method according to claim 6, preemptive mold utilizing poor quality history for the used in quality mode information are screen list to the Excel (Microsoft Excel TM) file, or from the list of Excel (Microsoft Excel TM) file, characterized in that the checking and extracting How to operate preventive management system.
The system according to claim 6, characterized in that the line-by-line quality control object selected in (B-4) is provided in the plan mode, and the line-by- A method of preemptive mold prevention management system using.
4. The method of claim 1, wherein the management mode further comprises: (C-1) selecting a preliminary quality control target after receiving the production plan of the plan mode, (C-2) If the necessity of the inspection of the mold equipment cleaning work or the mold work for the product production is judged and there is no necessity of the inspection plan, the work instruction according to the received production plan is performed, (C-3) When there is a need for a check plan, a production plan list of the plan mode and a list of essential check items of the management mode are input to the PDA (C-4) when the result of the PDA performing the real-time field check is abnormal, the check result is uploaded to the DB by the PDA (C-5) When the result of the PDA performing the real-time field check is abnormal, the PDA may upload the check result to the DB, and then the abnormal result The system is implemented as an on-site response in case of an abnormality in which an inquiry is made to repair the abnormality, and then the repair result is inputted to the PDA, and a method of operating the preemptive mold prevention management system utilizing the quality defect history. The method according to claim 9, the information used in the management mode (S300) have been updated with the Excel (Microsoft Excel TM) screen list to a file or Excel checking and extracting from the list of (Microsoft Excel TM) file, or Excel (Microsoft Excel TM) file Wherein the preliminary mold preventive management system is uploaded to the DB.
The method according to claim 9, the poor quality history, characterized in that the required checks the input of the (C-1) is made of a display by the list checked in Excel (Microsoft Excel TM) file, which is provided to be viewed on the plan mode, How to use preemptive mold prevention management system.
(C-3-1) downloading the production plan list and the list of essential check items, (C-3-2) downloading the list of essential check items, (C-3-2) (C-3-3) barcode verification, PDA inquiry to check and confirm the downloaded file with the PDA, (C-3-4) search and check, and check result And the inspection result inputted to the PDA is input. The method for operating the preemptive mold prevention management system utilizing the quality defect history.
An Aladdin system having an Aladdin DB for storing data in Microsoft Excel ( TM );
Claims 1 to 12, and during execution of the program mode, the quality mode, the management mode according to any one of the preceding, the planning mode and the Aladdin system the quality mode and the management mode is to be created and saved to an Excel (Microsoft Excel TM) file, and The system includes a manufacturing execution system (MES), a computer, and a personal digital assistant (PDA), each of which performs mutual communication. The preemptive mold prevention management system utilizes a quality defect history.
14. The manufacturing execution system according to claim 13, wherein the MES (Manufacturing Execution System) analyzes the status of the production plan data transmission and the result according to the plan, and the computer inputs and outputs data to generate a Microsoft Excel ( TM ) the generated Excel (Microsoft Excel TM) proactive prevention of mold management system utilizing a history of poor quality which comprises the upload / download and data input file.
The method according to claim 13, wherein Aladdin DB (100) includes Excel (Microsoft Excel TM) based DB hierarchy (DB Hierarchical Structure) The MES DB, destination lookup DB, job creation DB, inspection planning DB, PDA Performance DB implemented, A preemptive mold prevention management system utilizing a quality defect history characterized by including a job history DB.
16. The manufacturing execution system according to claim 15, wherein the MES (Manufacturing Execution System) Excel list includes a defect rate information inquiry for each year of the mold, a failure rate weighting selection for each year, and a defect rate score scoring for each mold according to a weight, And the defect list includes a daily production quantity and a defect rate of a mold to be used, and the job creation excel list includes a vehicle type, an item, and a planned amount, the inspection plan excel list includes equipment, materials, conditions, scrap, And a repair history of the mold to be inspected, wherein the work history excel list includes history creation and result history registration.
KR1020140085227A 2014-07-08 2014-07-08 Preemptive Mold Prevention Management System and Method based Poor Quality History KR20160005995A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111954855A (en) * 2018-04-19 2020-11-17 三菱电机株式会社 Apparatus, method and computer program for determining abnormal device

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140066966A (en) 2012-10-23 2014-06-03 한국생산기술연구원 Cooperation system using open public network

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140066966A (en) 2012-10-23 2014-06-03 한국생산기술연구원 Cooperation system using open public network

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111954855A (en) * 2018-04-19 2020-11-17 三菱电机株式会社 Apparatus, method and computer program for determining abnormal device
CN111954855B (en) * 2018-04-19 2024-05-14 三菱电机株式会社 Device and method for determining abnormal equipment and computer equipment

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